Identifying Sources of Antibiotic Resistance Genes in the Environment Using the Microbial Find, Inform, and Test Framework

Authors

Corinne Wiesner-Friedman, U.S. Environmental Protection Agency
Rachelle E. Beattie, Marquette UniversityFollow
Jill R. Stewart, University of North Carolina at Chapel Hill
Krassimira R. Hristova, Marquette UniversityFollow
Marc L. Serre, University of North Carolina at Chapel Hill

Document Type

Article

Publication Date

9-2023

Publisher

Frontiers Media S.A.

Source Publication

Frontiers in Microbiology

Source ISSN

1664-302X

Original Item ID

DOI: 10.3389/fmicb.2023.1223876

Abstract

Introduction: Antimicrobial resistance (AMR) is an increasing public health concern for humans, animals, and the environment. However, the contributions of spatially distributed sources of AMR in the environment are not well defined.

Methods: To identify the sources of environmental AMR, the novel microbial Find, Inform, and Test (FIT) model was applied to a panel of five antibiotic resistance-associated genes (ARGs), namely, erm(B), tet(W), qnrA, sul1, and intI1, quantified from riverbed sediment and surface water from a mixed-use region.

Results: A one standard deviation increase in the modeled contributions of elevated AMR from bovine sources or land-applied waste sources [land application of biosolids, sludge, and industrial wastewater (i.e., food processing) and domestic (i.e., municipal and septage)] was associated with 34–80% and 33–77% increases in the relative abundances of the ARGs in riverbed sediment and surface water, respectively. Sources influenced environmental AMR at overland distances of up to 13 km.

Discussion: Our study corroborates previous evidence of offsite migration of microbial pollution from bovine sources and newly suggests offsite migration from land-applied waste. With FIT, we estimated the distance-based influence range overland and downstream around sources to model the impact these sources may have on AMR at unsampled sites. This modeling supports targeted monitoring of AMR from sources for future exposure and risk mitigation efforts.

Comments

Accepted version. Frontiers in Microbiology, Vol. 14 (September 2023). DOI. © 2023 Frontiers Media S.A. Used with permission.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Wiesner-Friedman, Corinne; Beattie, Rachelle E.; Stewart, Jill R.; Hristova, Krassimira R.; and Serre, Marc L., "Identifying Sources of Antibiotic Resistance Genes in the Environment Using the Microbial Find, Inform, and Test Framework" (2023). Biological Sciences Faculty Research and Publications. 954.
https://epublications.marquette.edu/bio_fac/954